AI-SeedClassification
We developed an AI-powered platform that utilizes photometry, radiometry, and computer vision to efficiently classify seeds and analyze seed quality. To enhance the user
What is Systems Engineering as a Service?
SEaaS comprises of AiOps, DevOps, Platform Engineering, SecOps, SRE, MLOps and QAOps services.
Why is
Systems Engineering
Important?
Waste of information technology infrastructure, power, time, money and other resources can be reduced by following rigorous systems engineering practices. It allows software engineering organizations to manage complexity and risk and help optimize cost and resources while ensuring quality and reliability across the lifecycle of digital platforms and apps.
“SEaaS is a division of Innovation Incubator Advisory”
Our Services
01
DevOps
We can assist to enhance software delivery, create a culture of agility and automation and hasten product releases in the cloud. The first stop is DevOps, by merging software development and IT operations.
We are DevOps professionals fully abreast with the latest developments in DevOps strategy for startups and enterprises, primarily in the USA, Canada and Middle East. We offer a variety of advisory and technical services.
CI/CD Pipelines
Increase the frequency and pace of releases so you can improvise and improve your product faster. Continuous Integration and Continuous Delivery are practices that automate the software release process, from build to deploy.
Cloud Migrations
Move data and applications to a more effective and secure environment than on-premise servers. Assist with On-premise to Cloud migrations & Cloud to Cloud Migrations.
SRE - Site Reliability Engineering
Proactively seeks to convert production environments to a more scalable, robust, and secure state.
Process Automation
Automation is an integral part of speeding up cloud provisioning with infrastructure as code. This service model helps us to deploy stacks without human intervention.
Monitoring and Logging
Leverage modern DevOps tools and technologies and follow best practices for reliable monitoring and logging.
Hybrid Cloud
Take advantage of public cloud options like Google Cloud , AWS, Azure etc while maintaining the existing On-Premise infrastructure.
Pilot Frameworks
Identifies the best DevOps model and toolchain for business needs and optimizes your existing IT structure and resource usage to meet your goals faster and with fewer errors.
Infrastructure as Code
Reduce or eliminate the need for manual infrastructure management and provisioning processes by committing these infrastructure configuration specifications to code and maintaining detailed version control notes.
Cost Optimization
Cloud expenses skyrocket due to over provisioned resources, unnecessary capacity and poor environmental visibility. Cost optimization helps organizations strike a balance between cloud performance and cost.
Testing and Control
The amendments by the developers are validated by creating a build and running an automated test against them, and only upon successful completion, the changes are deployed. In the case of Continuous Integration, emphasis is on testing automation. This is to validate if it is broken whenever new commits are integrated into the main branch.
Tools / Technologies used in DevOps
02
QAOps
QaOps is an emerging field in Systems Engineering that integrates QA (Quality Assurance) into software delivery pipelines. It necessitates the QA team to work directly with the operations and development teams. With QAOps, we get the flexibility to test the application within the process and there is no need for an isolated software testing process.
Automated Testing
Scalability Testing (Load Testing)
Parallel Testing
Regression Testing
03
SecOps
Cyberattacks have become one of the biggest hazards facing businesses of all kinds in recent years.
A single cyberattack can result in significant losses in revenue and brand reputation.
We help identify, defend against, and reduce cybersecurity risks. Our specialized, industry-leading cyber security services (SecOps) will safeguard your network and what matters most to you. We adhere to the standard guidelines of WSTG and MASTG from OWASP.
Source-Code Analysis
Analyse source code to identify potential security vulnerabilities and coding errors. This helps to identify and address security flaws before deployment and mitigate the risk of cyber attacks.
Security Assessment & Auditing
Evaluate your organization's AWS infrastructure security and identify potential vulnerabilities and threats. This helps to ensure that security measures are effective and in compliance with industry regulations and best practices.
Compliance Management
Ensure compliance with regulatory requirements and industry standards. It involves monitoring systems, analyzing data, and identifying and addressing potential compliance issues to minimize risk and maintain the integrity of the organization's security posture.
Application Pentesting
Assess an application's security by simulating real-world attacks. identify potential vulnerabilities, test the application's ability to withstand attacks, and provide recommendations for improving security. Application pentesting helps organizations to identify and address security weaknesses before they can be exploited by malicious actors.
Tools / Technologies used in SecOps
04
MLOps
Build and Deploy Machine Learning Models into production safely, quickly, and in a scalable fashion. By providing the following advantages, implementing MLOps principles helps you complete ML initiatives with a shorter time to market.
ML/AI Continuous Training
Move data and applications to a more effective and secure environment than on-premise servers. On-premise to Cloud migrations & Cloud to Cloud Migrations.
CI/CD Pipelines for ML
Automated CI/CD system for ML pipelines in production. The automated CI/CD system lets your data science team rapidly explore new ideas around feature engineering, model architecture, and hyperparameters.
Our People
Aaron Daniel
Head Systems Engineering
Rajith V
Lead Systems Engineer
Anil Augustine
Senior Systems Engineer
Soorya Narayanan S
Systems Engineer
Kiran K V
Junior Devops Engineer
Faith L Kunjumon
Junior System Administrator
Nishat Momin
DevOps Engineer
M R Anand
SecOps Engineer
Aravind S.V
SecOps Engineer
Mukund S V
SecOps Engineer
Vipin Kumar
System Administrator
Case study
DevOps
FleetManagement
To fulfill the client’s requirement of developing an AI-powered fleet management system, we received data from approximately 5000 GPS devices located in various regions
HealthCare
Solution for a healthcare platform designed to automate revenue cycle management processes throughout the system. Initially, AWS was used as the infrastructure platform, with
Auto
Our client was a comprehensive online automotive digital retailing and marketing platform that allowed dealers to manage their operations and marketing from a single
Digital Health
A solution for a unique USA based digital healthcare company that provides a 24/7 telehealth treatment, triage, and navigation service through its digital front
SecOps
Auto MobileApp
Testing solution for Vehicle Rental Mobile App for Auto Dealers, Fleet, and other vehicle owners (Owners) to provide vehicles to drivers including those who
Auto WebApp
Web application testing solution for an artificial intelligence-based digital retailing storefront solution for auto dealerships. Features include lead management, sales pipeline, real-time inventory update,
Healthcare WebApp
A security testing solution for a USA-based digital healthcare tech company that provides a 24/7 virtual care service. CHALLENGES Faced with the healthcare industry’s
PenTesting WebApi
Penetration testing solutions for a company specializing in real estate data, insights, and solutions, catering to the entire real estate industry. The project involved
WordPress Web
WordPress website testing solution for a company that offers a unique model of combining technology partnership, incubation, and domain/tech acceleration capabilities for founders. Challenges:
Digital Health
A solution for a unique USA based digital healthcare company that provides a 24/7 telehealth treatment, triage, and navigation …
Auto
Our client was a comprehensive online automotive digital retailing and marketing platform that allowed dealers …
HealthCare
Solution for a healthcare platform designed to automate revenue cycle management processes throughout the system. Initially,
FleetManagement
To fulfill the client’s requirement of developing an AI-powered fleet management system, we received data from approximately …
AI-SeedClassification
We developed an AI-powered platform that utilizes photometry, radiometry, and computer vision to efficiently classify…
Certifications
Frequently Asked Questions
DevOps has had a significant impact on virtually every business that relies on the delivery of software in devices, web, and mobile in various cloud or on premise environments. We have deep experience in Healthcare, Real Estate, FinTech, Automotive, Social Retail, Outdoor sporting and Telecom.
MLOps addresses several issues that are commonly faced when deploying, scaling, and maintaining ML models in production environments. This includes AI Model reproducibility, model validation and testing, scalability, CI/CD, Model compliance and governance and Model life cycle management.
Yes of course. Please submit a request by filling the form and our experts will get back to you.
Let’s get in touch!
Do you need Systems Engineering services such as AIOps, DevOps, SecOps, QAOps, MLOps, SRE or Platform Engineering. Please submit this form now.
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